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I9(2)
MATLAB program for speech signal recognition using lpcc (Linear Predictive Cepstral Coding) one of the method for the pick up of speech character.
- 2012-10-24 02:56:59下载
- 积分:1
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rwpitch
对输入的语音信号进行分帧处理,低通滤波,中心削波,求自相关函数最后得到基音轨迹。(Speech input signal framing processing, low-pass filtering, center clipping, seeking autocorrelation function finally got the pitch trajectory.)
- 2021-03-24 21:39:14下载
- 积分:1
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xinhaojiance
信号检测中采用Bayes准则求最佳判决门限的影响因素观察(Signal detection using Bayes factors observed criteria for the best decision threshold)
- 2014-01-06 18:53:00下载
- 积分:1
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FISTA
压缩感知恢复算法,加速算法的一种,近似算法(Recovery algorithm)
- 2015-09-21 19:17:47下载
- 积分:1
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CalculatioofPartitionConvolutionBasedOnTheMATLAB
线性卷积要求两个输人序列具有持续时间,但在实际应用中,可能遇到输人序列具有无限持续时间的情况。在这种情况下,分段卷积是一种有效的解决方案。文章讨论了计算分段卷积的两种方法。仿真试验表明,分段卷积方法正确且高效。(The linear convolution needs two finite-time input sequences, but in the actual application, two infi-
nite-time input sequences are possible. Under this kind of situation, the partition convolution is an effective solu-
tion. In this paper, two methods of the partition convolution are discussed. The simulation experiment indicatesthat the partition convolution is correct and effective.)
- 2009-11-02 12:49:48下载
- 积分:1
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esprit_Algorithm_self
ESPRIT算法是一种用于信号到来角(DOA)估计的直接求解方法,本程序中含有3种不同的算法均为自编(ESPRIT algorithm is used to signal the arrival angle (DOA) estimation of the direct methods, its performance at low signal to noise ratio (SNR) and signal correlation will seriously undermine)
- 2010-08-10 09:31:53下载
- 积分:1
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Matlab-FFT
数字信号处理 FFT的matlab实现 很好理解的资料(FFT matlab digital signal processing to achieve a good analysis of data)
- 2012-05-13 16:06:04下载
- 积分:1
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matlab
EKF算法在MATLAB中的仿真及其分析比较(EKF algorithm in MATLAB simulation and analysis)
- 2013-03-08 22:13:22下载
- 积分:1
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mirranda
基于浮点数编码的多目标遗传算法,运行环境为matlab.(Multi-objective genetic algorithm based on floating-point encoding,Operating environment for matlab.)
- 2014-12-31 15:39:17下载
- 积分:1
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2
说明: In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature
- 2015-03-03 22:52:59下载
- 积分:1